◕ Track 1:Fundamental Theories and New Paradigms of Artificial Intelligence

Fundamental theories of machine learning and deep reinforcement learning for complex dynamical systems; mechanisms and convergence analysis of few-shot, zero-shot, and continual learning

Dynamical behavior analysis, constrained alignment, and reasoning mechanisms of large models and generative AI; new paradigms for large-model-empowered multi-agent and swarm systems

Symbolic-neural hybrid intelligence, causal reasoning, and knowledge graph theory; causal modeling and identification methods for complex systems

Data-driven system identification; AI modeling theory and stability analysis for nonlinear complex systems

Trustworthy AI, explainable AI, robust AI, AI safety and ethics; AI safety constraint mechanisms for unmanned systems

Theoretical exploration of AI for Science in control science, swarm robotics, and marine unmanned systems

◕ Track 2: Swarm Intelligence and Multi-Agent Systems

Emergence mechanisms of swarm intelligence, evolutionary dynamics, and phase transition laws of collective behavior; theories, convergence, and performance analysis of bionic swarm intelligence algorithms (ant colony, particle swarm, bee colony, etc.)

Distributed modeling, game-theoretic decision-making, and task allocation in multi-agent systems; multi-agent cooperation theory under communication constraints, time delays, and data packet loss

Distributed model predictive control theory; configuration evolution and regulation of swarm systems; swarming and formation control under multiple constraints

Cooperative control of swarm robots and heterogeneous unmanned systems; cyber-physical cooperative frameworks for air-sea cross-domain unmanned systems; cross-domain swarm cooperation of UAVs and USVs

Evolution of collective behavior, disturbance suppression, and resilient cooperation in complex networks; robust cooperation mechanisms of swarm systems in adversarial environments

Theory and engineering verification of swarm intelligence in complex scenarios such as ocean exploration, complex industrial scheduling, and disaster operations

◕ Track 3:Intelligent Control Theory and Methods

Advanced control theory: adaptive control, robust control, nonlinear control, sliding mode control, model predictive control theory and improved methods

Fuzzy control, neural network control, and hybrid intelligent control; stability, robustness, and closed-loop performance analysis of intelligent control algorithms

Analysis and synthesis of networked control systems, time-delay systems, and control systems under communication constraints

Motion control, process control, and servo system design; complex system modeling, system identification, and state estimation

Fault diagnosis, fault-tolerant control, and reliability and safety protection technologies for control systems

Control synthesis for constrained and multi-constraint systems; design theory of controllers for marine unmanned equipment and industrial equipment

◕ Track 4:Intelligent Perception, Embedded Systems, and Edge Intelligence

Multi-sensor information fusion in complex environments, high-precision state perception, and signal processing under strong noise conditions

Edge intelligence and software/hardware architectures for embedded AI systems; lightweight AI models, model compression, and edge-side deployment optimization

Real-time intelligent detection, target tracking, and condition monitoring for unmanned platforms; perception and anti-interference perception technologies in complex marine environments

Heterogeneous embedded intelligent hardware and integrated real-time perception-control system design

End-edge-cloud collaborative architectures under perception-control closed loops; perception information interaction mechanisms under communication constraints

◕ Track 5:Industrial Applications of Intelligent Unmanned Systems

Swarm robots and autonomous unmanned equipment systems; theories and technologies for multi-robot cooperative operation, cooperative assembly, and cooperative manufacturing

Intelligent manufacturing, industrial internet, and industrial intelligence; digital twins, virtual-real fusion, and intelligent operation and maintenance of industrial systems

Engineering applications of marine unmanned equipment swarms; technical implementation of unmanned systems for marine facility inspection and maritime surveying

Smart transportation, smart grids, and energy system optimization; human-computer interaction and human-machine integrated collaboration systems

Intelligent equipment system technologies and engineering practices in industry scenarios such as smart healthcare and smart cities

◕ Track 6:Interdisciplinary and Frontier Exploration

New theories and new methods for deep cross-disciplinary integration of artificial intelligence and control science

Complex dynamic system analysis, intelligent optimization algorithms, and operations research and decision theory

Big-data-driven control and data-model hybrid-driven system theory

Integrated air-space-ground-sea intelligent cooperation systems, heterogeneous device interconnection in the Internet of Things, and next-generation intelligent control systems

Next-generation intelligent control system architectures; embedded intelligent control chips, intelligent hardware, and real-time control systems

Intelligent perception, control, and cooperation of soft robots and medical micro-robots